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# projpred [<img src="man/figures/logo.svg" align="right" height="139" alt="Stan Logo"/>](https://mc-stan.org)
The R package **projpred** performs the projection predictive variable
selection for various regression models. Usually, the reference model
will be an [**rstanarm**](https://mc-stan.org/rstanarm/) or
[**brms**](https://paul-buerkner.github.io/brms/) fit, but custom
reference models can also be used. Details on supported model types are
given in section [“Supported types of
models”](https://mc-stan.org/projpred/articles/projpred.html#modtypes)
of the main vignette[^1].
For details on how to cite **projpred**, see the [projpred citation
info](https://CRAN.R-project.org/package=projpred/citation.html) on
CRAN[^2]. Further references (including earlier work that **projpred**
is based on) are given in section
[“Introduction”](https://mc-stan.org/projpred/articles/projpred.html#introduction)
of the main vignette.
The [vignettes](https://mc-stan.org/projpred/articles/)[^3] (currently,
the main vignette is the only one) illustrate how to use the
**projpred** functions in conjunction. Details on the **projpred**
functions as well as some shorter examples may be found in the
[documentation](https://mc-stan.org/projpred/reference/index.html)[^4].
## Installation
There are two ways for installing **projpred**: from
[CRAN](https://CRAN.R-project.org/package=projpred) or from
[GitHub](https://github.com/stan-dev/projpred). The GitHub version might
be more recent than the CRAN version, but the CRAN version might be more
stable.
### From CRAN
``` r
install.packages("projpred")
```
### From GitHub
This requires the [**devtools**](https://devtools.r-lib.org/) package,
so if necessary, the following code will also install **devtools** (from
[CRAN](https://CRAN.R-project.org/package=devtools)):
``` r
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")
}
devtools::install_github("stan-dev/projpred", build_vignettes = TRUE)
```
To save time, you may omit `build_vignettes = TRUE`.
[^1]: The main vignette can be accessed offline by typing
`vignette(topic = "projpred", package = "projpred")` or—more
conveniently—`browseVignettes("projpred")` within R.
[^2]: The citation information can be accessed offline by typing
`print(citation("projpred"), bibtex = TRUE)` within R.
[^3]: The overview of all vignettes can be accessed offline by typing
`browseVignettes("projpred")` within R.
[^4]: The documentation can be accessed offline using `?` or `help()`
within R.
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